Skinive

What if your smartphone could help you understand your skin's health with over 90% accuracy?

RecommendedSkinive offers a medically certified, AI-driven solution for preliminary skin condition assessment, serving as a valuable tool for both personal health monitoring and professional medical support.

Skinive offers AI-driven mobile applications for detecting and assessing skin disease risks from smartphone photos. It provides solutions for both individual users to monitor their skin health and medical professionals for diagnostic support, with an API available for third-party integration.

Visit Skinive
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Key Features:
  • AI-powered risk assessment for over 50 skin conditions
  • Image quality check for optimal analysis results
  • Detailed disease descriptions and recommendations
  • Tracking of skin changes over time
  • API for third-party integration (Skinive.Cloud)
Pros
  • Individuals concerned about skin health and early detection of skin conditions
  • Medical professionals seeking AI-powered diagnostic support and patient monitoring tools
  • Developers and businesses looking to integrate skin analysis AI into their digital health solutions
Cons
  • Not a replacement for a qualified medical professional or diagnosis
  • Accuracy depends on the quality of the submitted photos
  • Specific pricing for the API is usage-based and starts from €400/month
Pricing
freemiumFree tier
Starting at:€400/month (for API)
Categories:
Healthcare & MedicalAI Infrastructure
Tags:
skin healthdermatologyAI scannermedical deviceskin conditionsAPI
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Quick Decision
Try if: You are looking for an AI-powered tool to help monitor your skin health or integrate skin analysis into a medical or beauty application, backed by medical certifications.
Skip if: You expect a definitive medical diagnosis or treatment plan directly from an app, or if you cannot provide clear, high-quality images for analysis.
Not for: Individuals seeking a definitive diagnosis or prescription without consulting a doctor; Users who cannot provide high-quality, well-lit photos of skin conditions
Trust Signals

  • Founded

    2020

  • Users

    5M+

  • Team Size

    medium

  • Funding

    European Union’s Horizon 2020 programme under grant agreement No 951847
Compliance
CE-Marked medical softwareISO 13485
Notable Customers
The Care VoiceEltyPrescanConlan AppsSantagostino
Tech Details
Platforms
mobile appapi
Open Source
No
Support
Channels
emailFAQ
Company

  • Name

    Skinive B.V.

  • Location

    Amsterdam, Netherlands

Skinive is on a mission to help people take care of their skin's beauty and health in an easier and faster way, leveraging computer vision and dermatologist expertise to identify skin diseases.

FAQ

What is Skinive and how does it work?

Skinive is a convenient way to detect and assess skin disease risks using your smartphone. You take a photo of a skin pathology, send it to the Skinive app for analysis, and receive timely results. It uses AI trained on clinical cases to identify over 50 skin conditions.

Does Skinive replace a doctor?

No, Skinive is not a diagnostic device and does not replace a qualified specialist. It helps you become more knowledgeable about your skin's health and can indicate when a visit to a doctor might be necessary. It does not diagnose or prescribe treatment.

What kind of skin diseases can Skinive identify?

Skinive can detect various skin conditions including viral diseases (warts, herpes), fungal diseases (mycoses), papulo-squamous disorders (psoriasis, dermatitis), acne, benign formations (moles, angioma), pre-cancerous conditions, and skin cancer (melanoma, SCC, BCC).

Is Skinive certified and clinically proven?

Yes, Skinive solutions are CE marked and meet regulatory requirements for medical devices. Skinive is a Class 1 medical device that uses clinically proven technology, and the company holds an ISO13485 Certificate for its quality management system.

How accurate is Skinive's AI?

Skinive's algorithm boasts an accuracy rate of over 90%, which is on par with professional dermatologists. The accuracy is continuously improved as the algorithm is trained on more clinical cases.

Use Cases
  • Individuals concerned about skin health and early detection of skin conditions
  • Medical professionals seeking AI-powered diagnostic support and patient monitoring tools
  • Developers and businesses looking to integrate skin analysis AI into their digital health solutions
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